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Data Analyst Python Sql Jobs in Gilbert, AZ (NOW HIRING)

We are seeking a Data Analyst II to join our Faculty Services team! We are seeking an analytical ... Analyst skills using SQL, MS Excel, MS Access. * Basic math aptitude and understanding and an ...

Complete projects requiring data mining, analysis and presentation Prioritize business and information needs Extract, import, clean, transform, and validate data Write Structured Query Language (SQL ...

Data Analysis, * data warehousing, * SSRS, * Business Objects ... T-SQL, * Testing and Healthcare experience. Additional Information GOOD COMMUNICATION SKILLS ...

Performs data analytics on various processes and projects to measure post-implementation ... Proficient in MS Access and SQL Server Strong financial acumen. Qualifications Required Skills:

Experience conducting data analysis in SQL and Excel, and a scripting language like Python, R, SAS * Strong communication skills necessary to relay complex data analysis requirements to team members ...

Company Description IDEALFORCE has a CONTRACT position available immediately for a DATA Analyst to ... SQL Server 2005/2008/2012/ T-SQL - Intermediate - 1-3 yrs exp * Visual Studio 2010/2012 - 1-3 yrs ...

Title: SQL/Snowflake Data Analyst Location: Remote Hours: 8 AM - 5 PM EST Start Date: June 27 Length: 12 months CTH (Contract-to-Hire) Interview Process: 2 Rounds (1 Culture Fit + 1 Technical ...

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Data Analyst Python Sql information

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$33.9K

$82.4K

$135.6K

How much do data analyst python sql jobs pay per year?

As of May 28, 2026, the average yearly pay for data analyst python sql in Gilbert, AZ is $82,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What cities near Gilbert, AZ are hiring for Data Analyst Python Sql jobs? Cities near Gilbert, AZ with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Gilbert, AZ as of May 2026, with employment types broken down into 5% As Needed, 60% Full Time, 9% Part Time, 25% Contract, and 1% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution, with an average salary of $82,376 per year, or $39.6 per hour.

Full-time

Posted 20 days ago


Job description

Are you a detaildriven data expert who loves transforming information into insights and improving business processes? We are seeking a Data Analyst II to join our Faculty Services team! We are seeking an analytical thinker who thrives in a collaborative environment and is passionate about data integrity, system optimization, and process automation.

In this role, you will take the lead in developing reports, dashboards, and workflows that enhance data quality and operational efficiency across multiple departments. You'll partner with crossfunctional teams-including IT, finance, legal, business development, and academic support groups-to design solutions, streamline processes, and ensure the accuracy and reliability of mission-critical information. If you enjoy solving complex data challenges, improving systems, and shaping datadriven decision-making, we'd love to meet you.

MUST reside in the Phoenix, Arizona area.

Primary Responsibilities /Accountabilities/ Essential Functions:

  • Retrieves data from internal and external systems and ensures accuracy through the development of reports, data analysis, and resolution of issues prior to submission/transfer for processing.

  • Develops queries, reports, dashboards, and processes to continuously monitor data/metadata quality and integrity.

  • Audits and maintains data quality/business processes/process documentation within various corporate databases and applications.

  • Assesses the business requirements for Faculty Services, automates processes and workflows, and expands or modifies software to serve new purposes or improve workflow or fit-for-use.

  • Analyzes, interprets, and communicates data performance metrics and feedback collection.

  • Reviews and controls data to ensure ongoing accuracy and consistency within Faculty Services.

  • Designs and integrates business processes and data flows between CRM/xRM and other applications.

  • Assists in designing operational dashboards for management.

  • Implements and deploys various applications as identified by management to maximize value.

  • Works with stakeholders, faculty support groups, business development, legal, finance, IT, and marketing/management teams on multiple projects, defining business requirements, coordinating system builds/customizations, reporting and data clean up.

  • Provides expertise to other teams including data administration and source-based data analysis.

  • Works independently on regular duties under general supervision, referring issues beyond scope of authority to management.

  • Performs root case analysis on data and identifies approaches to resolve.

  • Performs complex data analysis and report creation.

  • Takes the lead in customizing reports and software user needs and refers software programming issues to xRM department.

  • Has a greater understanding and knowledge of departmental policies and processes, related department programs and University policies.

  • Other duties as assigned.

Equipment Used and Responsibility

  • Must be highly proficient at Microsoft Excel with ability to manipulate delimited files using T-SQL.

  • Analyst skills using SQL, MS Excel, MS Access.

  • Basic math aptitude and understanding and an understanding of statistics.

  • Well versed in creating meaningful reports and dashboards.

  • Good understanding of end-to-end business processes.

  • Highly detail oriented with strong analytical and planning abilities

  • Self-motivated and results oriented.

  • Good interpersonal skills with ability to work well in a team environment.

  • Familiarity with Customer Relationship Software and developer tools.

Experience/ Education

  • Previous experience and/or education as a Data Analyst Level I.

  • Bachelor's degree from a regionally accredited institution in a related field.

  • A minimum of 3 years progressively responsible work experience (1 year Level I plus 2 years' additional work experience) using CRM preferably in a MS Dynamics or other MS environment, working on increasing more difficult projects, reports, queries utilizing SQL.

  • Java and JavaScript experience is helpful but not required.

  • Must successfully pass a background check.